Tungsten Automation EMEA incident
AP Essentials slow processing in EU
Tungsten Automation EMEA experienced a minor incident on November 4, 2025 affecting AP Essentials, lasting 1h 11m. The incident has been resolved; the full update timeline is below.
Affected components
Update timeline
- investigating Nov 04, 2025, 09:16 AM UTC
We are currently experiencing a delay in processing for AP Essentials. Some files are taking longer than normal to be processed. Our team is actively investigating the issue and working to restore normal processing times as quickly as possible. We appreciate your patience and will provide an update once the issue is resolved.
- monitoring Nov 04, 2025, 09:57 AM UTC
A fix has been implemented and we are monitoring the results.
- resolved Nov 04, 2025, 10:27 AM UTC
This incident has been resolved.
- postmortem Nov 06, 2025, 09:18 AM UTC
**Overview** On November 3-4, 2025, customers experienced document-processing delays of up to 30 minutes. This issue affected multiple tenants during peak month-end processing periods was caused by increased processing volumes overwhelming system capacity. **Incident Detail** The issue occurred when document processing volumes increased substantially, causing processing queues to spike significantly higher than regular flow. Investigation revealed that certain cloud services had become unresponsive, preventing automatic scaling mechanisms from handling the increased load effectively. Our engineering teams adjusted service scaling settings. Normal flow resumed at around 10:00 UTC on November 4th, with full resolution confirmed at ~10:30 UTC after all queued documents were processed. **Resolution** The new set of service scaling settings restored normal automatic scaling functionality and cleared the processing backlog. All affected documents were successfully processed once normal operations resumed. We have upgraded monitoring alerts for the processing queues from low to high priority to ensure faster detection of similar issues. Additional improvements include optimizing autoscaling configurations for predictable month-end volume increases and implementing proactive capacity planning to prevent similar incidents during future peak processing periods.